code: def _log_likelihood(
      y_obs: np.ndarray, y_pred: np.ndarray, se_pred: np.ndarray
  ) -> float:
      return float(
          np.sum(norm.logpdf(y_obs, loc=y_pred, scale=se_pred))
      )
  
file_path: Ax/ax/utils/stats/model_fit_stats.py
imports: from typing import Dict, Mapping, Optional, Protocol
  import numpy
  from scipy.stats import fisher_exact, norm, pearsonr, spearmanr
label_desc: Use image node_id 6 for calling a global function with example usage: _log_likelihood(y_obs, y_pred, se_pred) and returns: float